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adequacy-fluency tradeoff

topic1 events
papersTODAY 04:00 UTC

Paper Examines Adequacy-Fluency Tradeoff in MT Meta-Evaluation

A new arXiv paper analyzes how meta-evaluation of machine translation must balance alignment with adequacy versus fluency, noting that the preferred balance shifts depending on which translation systems are included in the evaluation set. Because those system sets are typically small and filtered, the authors propose parameterizing this balance explicitly. The work appears in the cs.AI and cs.LG cross-listings.

machine-translation/meta-evaluation/nlp/benchmarks